Thin walled Steel products are very much used in the construction industry, where it
is cold formed from uniform thickness steel plates. This study aims at determining the
optimal section of cold formed thin walled lipped C compressed member under
the effect
of several levels of axial force using Genetic Algorithm.
The research found that the genetic algorithm is able to resolve the issue of the
optimal design of studied column with high efficiency, accuracy. Also it found that the
torsional flexural buckling constraint and the overall buckling constraint in x-direction are
the effective constraints in case of long height.
The study recommends restudying the same issue as a multi objective optimization
problem by adding additional objective functions which are the overall buckling in x&y
directions.
